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Paper Citation Record · LEDGER

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2310.06762.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.06762 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:54.752131Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T06:19:38.009701Z

Reference resolution

0 of 0 outbound references displayed

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  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c99c9ed8-f4b3-44b9-b189-617ee7da8129 · inbound

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training cites this paper.

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 27

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unresolved
no resolver link, observed 2026-08-07T14:55:54.752131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:55:54.752131Z digest=sha256:a76313fe46e05ba54ac5984a625f167bfff6980ca9b9a764d51ece34528c6d86

Observation 12080af9-d3f4-4323-ac45-35b279b8497e · inbound

TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree cites this paper.

TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 50

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no resolver link, observed 2026-08-07T04:36:07.758726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:36:07.758726Z digest=sha256:58cd932c7c4d6ceb7f9a2f7917592aa0b6ac208a1c34ecf5286cdd88290be4de

Observation 896147f8-7b70-46ab-88a2-52b9f8cc051c · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 208

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unresolved
no resolver link, observed 2026-08-07T00:40:33.102362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:33.102362Z digest=sha256:ca1e93c2474c1b1b342f13834ffa1adec3f556af64a437023713b02d62aef644

Observation bd096740-f307-4ba8-8a15-206dc9b2cade · inbound

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding cites this paper.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 18

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unresolved
no resolver link, observed 2026-08-06T21:20:09.610814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:09.610814Z digest=sha256:9abe739a166afae3ddc91b5fa35ab0bd58442bf09884bec30a034a52556f6f8d

Observation 6aa46a7a-773a-49b2-b589-841f096724bd · inbound

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs cites this paper.

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 41

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unresolved
no resolver link, observed 2026-08-06T20:35:05.243885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:35:05.243885Z digest=sha256:94d4a8d1defe962a3cbec049f2175f95166477a69653fb647def381a4109971c

Observation 812bb03f-a412-4071-8224-919b0e4a9230 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:15.610943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:f7c9a6ca99fd730ddd57215c526069faee8196531f85e2cbf0722d97423deea1

Observation 78c99d8d-3a9f-4508-acd4-26b54c888187 · inbound

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization cites this paper.

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 29

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verified exact
arxiv_id, observed 2026-05-18T14:51:30.388522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T14:46:45.598080Z digest=sha256:1009598c238865dec077f9db6c04cc872a164d5c748c2697fc0b20ec4d391858

Observation 2ef2b202-a3b1-4297-b1fd-356656144046 · inbound

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning cites this paper.

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 19

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verified exact
arxiv_id, observed 2026-05-11T18:36:09.068676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T14:57:29.592305Z digest=sha256:69b359a485856dc9c4cca1de9612a8ca4e0f48f6f64bd852b4d77958d0183489

Observation 69065311-e286-4bd9-a620-ef4d270609a1 · inbound

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning cites this paper.

CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 19

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verified exact
arxiv_id, observed 2026-05-11T05:05:57.223871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T00:52:39.062539Z digest=sha256:5dc0dd4c3b0d34505dc60e30aceb7c1b57d56adacc011364c3b10e8a6a518466

Observation 1760c42c-762c-4323-a849-7609cf7eb41a · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 27

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verified exact
arxiv_id, observed 2026-05-12T07:42:06.526016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:12:25.713592Z digest=sha256:3bb3df046eb38d45ffd7e47fa071ea302b83f2d603f63927c6037c83ef8f66e0

Observation b175b812-baa0-487b-8ac6-d44944b5a860 · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 27

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verified exact
arxiv_id, observed 2026-05-19T15:12:37.500522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T15:11:43.827012Z digest=sha256:e9f27a0f4ad30b55fbcc9cdd0941883550bd21e4ccaa286e3f5e3f5a9639f74a

Observation d44ebfae-b104-4238-a329-4ee71bf2161e · inbound

Trajectory Supervision for Continual Tool-Use Learning in LLMs cites this paper.

Trajectory Supervision for Continual Tool-Use Learning in LLMs TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 8

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verified exact
arxiv_id, observed 2026-05-12T03:21:18.638019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:20:20.779419Z digest=sha256:b3c9b3dbc92f4a40efa75c22e2651ab5ad5fe8240a8c96cc45807ef8cd278873

Observation 49688fc2-4767-4764-98f1-66db6b6e3f3b · inbound

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 47

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verified exact
arxiv_id, observed 2026-05-19T17:07:41.568222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T17:06:12.280460Z digest=sha256:fea3eec32ef43f6d07c370ae96a099f05619745b6d12ea89dcacee590395d3f0

Observation 761c011c-eb4e-4bd2-84d9-d738388aab24 · inbound

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory cites this paper.

Is One Score Enough? Rethinking the Evaluation of Sequentially Evolving LLM Memory TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 32

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verified exact
arxiv_id, observed 2026-05-19T16:47:40.501520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T16:43:37.472644Z digest=sha256:d21461208a2c2dd36b8d717670511eb5331182344eef1288f0d2a4a42581a0d1

Observation 4a554761-67cf-4dc3-99ae-b1f3c0852b91 · inbound

ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents cites this paper.

ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 8

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verified exact
arxiv_id, observed 2026-06-30T18:55:00.871794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T18:45:21.005170Z digest=sha256:8869b0849eeb365d6555e3e4135370cad3b47bfb30fa2b64fb59877f2f362797

Observation ae2059fd-a9fc-40d0-bf5c-da67b7b8ea7e · inbound

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning cites this paper.

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 44

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verified exact
arxiv_id, observed 2026-06-29T00:12:50.604963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T23:13:14.912686Z digest=sha256:91800e8db3523ac2c6988d41068a57582f3faef656f746188709f589c41af76a

Observation b2017921-c267-4153-bdd0-f68546b54a10 · inbound

CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs cites this paper.

CRMA: A Spectrally-Bounded Backbone for Modular Continual Fine-Tuning of LLMs TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 10

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verified exact
arxiv_id, observed 2026-06-28T23:12:47.017661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T23:08:17.712026Z digest=sha256:ec9893478a0a9c8ded1bd05c2b7b308c087ea4680ad095f78ea0b2583689b17f

Observation a6cf71f6-4c9a-47e1-beae-d63ac7161593 · inbound

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning cites this paper.

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 42

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verified exact
arxiv_id, observed 2026-06-28T23:02:46.617941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T22:58:30.457420Z digest=sha256:671e23b0703f821e0109c32a70e5f11af4d68bde36380b225957ebfd55f46a46

Observation 55bf8844-707b-427a-a693-073dbb10730c · inbound

TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning cites this paper.

TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 27

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metadata mismatch
arxiv_id, observed 2026-07-02T12:36:56.935068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T01:59:15.682726Z digest=sha256:63c54d504246a91d81773be663c485424e3f5e6c1cfb7aa8ba25c3522b73d9f0

Observation bb8e9fdf-fa45-4349-8c7b-de17c30c72e0 · inbound

RECAP: Regression Evaluation for Continual Adaptation of Prompts cites this paper.

RECAP: Regression Evaluation for Continual Adaptation of Prompts TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 9

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metadata mismatch
arxiv_id, observed 2026-07-02T12:06:56.294008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T02:24:52.140361Z digest=sha256:545d1c302d4a555ebf481845eab9d0a6d6feed945cdcb4555ce0fccc112f01ac

Observation 783f86e2-b6b6-4e63-b54e-309a649495f7 · inbound

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) cites this paper.

RPO-PDT: Demonstrating Role-Play-Based Knowledge Adaptation for Student Support Dialogue (Demonstration System) TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 29

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metadata mismatch
arxiv_id, observed 2026-07-03T01:17:30.429868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:45:27.352655Z digest=sha256:139a401b20e772240730b91ecaa2762934aceabf8f07e5bc58222e5eb744d266

Observation 78ce0c7e-243f-4d97-bb12-fbaf9e0abfaf · inbound

CEO-Bench: Can Agents Play the Long Game? cites this paper.

CEO-Bench: Can Agents Play the Long Game? TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 43

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verified exact
arxiv_id, observed 2026-07-03T21:38:58.683482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T00:19:47.396643Z digest=sha256:084ff1a460117b5d88f3c231a3d4ce6dfe03ac8f4bf8c380c1d5068b0289fff8

Observation 30248c63-19bc-41f6-a4bc-daa595ee7885 · inbound

CEO-Bench: Can Agents Play the Long Game? cites this paper.

CEO-Bench: Can Agents Play the Long Game? TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 43

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no resolver link, observed 2026-08-02T11:01:20.674778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:01:20.674778Z digest=sha256:682877682c53bea4074da34d6c02588956f8ed012f364b04e56d18c56c29cb77

Observation 0d2be03c-0515-4267-b32b-427d7b0d6802 · inbound

RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents cites this paper.

RIZZ: Routing Interactions to Near Zero-Interference Zones for Continual Adaptation of Black-Box Agents TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:29.413834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:03:49.270726Z digest=sha256:9ac522a2eb11bb05a9b25dfc272c704b4b27bbc28d92b000f20762b9b80fad54

Observation dbe3633e-8900-4b48-a340-29e04405131d · inbound

Task-Differentiated Atomic Skill Expansion and Routing for Continual Learning Across Highly Heterogeneous Tasks cites this paper.

Task-Differentiated Atomic Skill Expansion and Routing for Continual Learning Across Highly Heterogeneous Tasks TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 24

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metadata mismatch
arxiv_id, observed 2026-07-04T06:19:38.011288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T14:37:20.383589Z digest=sha256:6dd659a33043371486d8641a10ef0029ccc5608fe46d67deab28091fe92771ad

Observation cb198679-bdb0-46c3-acc7-cc94a62b367e · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:48:39.990678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:5eaf8b8d29a89a8febc1f6007d658eeaa0313488f780589e1d471d632945cf2b

Observation 25ce3c79-71d3-4af3-8bef-89d2dab43f34 · inbound

Rethinking Transfer in Continual Learning: A Replay-Based Realisation cites this paper.

Rethinking Transfer in Continual Learning: A Replay-Based Realisation TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T22:58:00.735175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:58:00.735175Z digest=sha256:cfa87d02256595b4d29f5db8eedb98b9f39e60b72f353e1999f7f9168be4df2a

Observation 7e265a5f-c706-4087-8eea-5f0e0b7845d6 · inbound

The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs cites this paper.

The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 20

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unresolved
no resolver link, observed 2026-08-03T03:50:58.338763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:50:58.338763Z digest=sha256:d749b8edac118f0bc4c5f61f390ecac235184f11a41857131f90b17143668fb5

Observation e831a52d-b75f-496a-8a05-7ff088fdc8d0 · inbound

Omega-S: A Functional Resilience Index for LLM Fine-Tuning cites this paper.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 36

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unresolved
no resolver link, observed 2026-08-05T10:26:24.614430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:26:24.614430Z digest=sha256:d39477e5153a3cf3bc75b753ec92a5874e16fef80a18bcc0a58ae5807503d7d8

Observation 4c11c611-8a6d-46f7-997b-8f5817602ff7 · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

Reference 171

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unresolved
no resolver link, observed 2026-08-07T12:24:11.998006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:24:11.998006Z digest=sha256:c4d03b4cd67fb5b6962b32a003452e587c404505cf6647b3790c12d1a0930cd8